Results 91 to 100 of about 5,452,386 (223)
Semina: Ciências Exatas e Tecnológicas, 2009 At several applications of computer vision is necessary to estimate parameters for a specific model which best fits an experimental data set. For these cases, a minimization algorithm might be used and one of the most popular is the Levenberg ...
Tiago Polizer da Silva +3 more
doaj
River Research and Applications, EarlyView.ABSTRACT Regulated rivers represent complex hydrological systems where groundwater–surface water interactions are governed by natural conditions and human interventions. This study investigates the spatiotemporal dynamics of groundwater–surface water exchanges in the Nechako River, British Columbia (Canada), using numerical simulations.
Milad Fakhari +4 more
wiley +1 more source
A Novel Approach to Energy Management in Electric Steelworks
steel research international, EarlyView.Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla +12 more
wiley +1 more source
Adaptive Operator-Based Spectral Deconvolution With the Levenberg-Marquardt Algorithm
Photonic Sensors, 2019 Spectral distortion often occurs in spectral data due to the influence of the bandpass function of the spectrometer. Spectral deconvolution is an effective restoration method to solve this problem. Based on the theory of the maximum posteriori estimation,
Chan Huang +5 more
doaj +1 more source
Wind Energy, EarlyView.ABSTRACT The installed wind energy capacity increases every year. However, operation and maintenance costs still make up a considerable portion of the levelized costs of electricity. This costs can be greatly reduced by the application of suitable early fault detection methods. The supervisory control and data acquisition system of wind turbines is one
Timo Lichtenstein +2 more
wiley +1 more source
Applied Sciences, 2018 The goal of phase retrieval is to recover an unknown signal from the random measurements consisting of the magnitude of its Fourier transform. Due to the loss of the phase information, phase retrieval is considered as an ill-posed problem.
Zhuolei Xiao +4 more
doaj +1 more source
Dynamic Economic Load Dispatch using Levenberg Marquardt Algorithm
Energy Procedia, 2018 Economic Load Dispatch (ELD) is a very important feature of power system network. This work proposes the novel approach which considers the constraint of ramp rate limit (RRL) to solve the ELD problem.
L. Daniel, K. Chaturvedi, M. Kolhe
semanticscholar +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT This study introduces a data‐driven surrogate modelling framework that combines an artificial neural network (ANN) with particle swarm optimisation (PSO) and a genetic algorithm (GA) to optimise methanol production under uncertain conditions.
Muhammad Zulkefal +4 more
wiley +1 more source
A Monte-Carlo-Based Network Method for Source Positioning in Bioluminescence Tomography
International Journal of Biomedical Imaging, 2007 We present an approach based on the improved Levenberg Marquardt (LM) algorithm of backpropagation (BP) neural network to estimate the light source ...
Zhun Xu +3 more
doaj +1 more source
Adaptive hybrid optimization strategy for calibration and parameter estimation of physical models
, 2011 A new adaptive hybrid optimization strategy, entitled squads, is proposed for complex inverse analysis of computationally intensive physical models. The new strategy is designed to be computationally efficient and robust in identification of the global ...
Atmadji +35 more
core +1 more source